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If the wide range is evenly spread between the very small and the very large (the distribution is symmetric) then there is not much to choose between the median and the mean. If not, the median will have some advantages as a measure of central tendency.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
A distribution function or a cumulative distribution function. The spread and range are also immediately apparent from a box [and whiskers] plot.
How widely spread out, or tightly concentrated about the mean it is.
By specifying the centre and standard deviation of the distribution but also mentioning the fact that it is bimodal and identifying the modes.
If the wide range is evenly spread between the very small and the very large (the distribution is symmetric) then there is not much to choose between the median and the mean. If not, the median will have some advantages as a measure of central tendency.
The standard deviation (SD) is a measure of spread so small sd = small spread. So the above is true for any distribution, not just the Normal.
It is a measure of the spread of the distribution: whether all the observations are clustered around a central measure or if they are spread out.
The mean and standard deviation often go together because they both describe different but complementary things about a distribution of data. The mean can tell you where the center of the distribution is and the standard deviation can tell you how much the data is spread around the mean.
In a statistical sense, spread, otherwise known as statistical dispersion, is one of various measures of distribution.
distribution
Population distribution refers to the patterns that a population creates as they spread within an area. A sampling distribution is a representative, random sample of that population.
Spread, in the context of a probability distribution, is a measure of how much the data vary about their central value.
It is a measure of the spread of the distribution. The greater the standard deviation the more variety there is in the observations.
It is the amount of population spread throughout an area.
A distribution function or a cumulative distribution function. The spread and range are also immediately apparent from a box [and whiskers] plot.
A uniform population distribution occurs when penguins are spread evenly across breeding grounds.